Transportation
How can we make traffic safer and more efficient? Transportation accounts for 30% of energy consumption world-wide, and traffic delays are at an all-time high. In the United …
•
8 min read
Read more
A traffic accident dataset for Chattanooga, Tennessee
This dataset combines data from traffic sensors, accident data, weather data, and daylight information into a comprehensive tagged traffic accident dataset. This dataset contains …
Spatiotemporal features of traffic help reduce automatic accident detection time
Automated Incident Detection (AID) pipeline as described in the paper. After the dataset generation phase (which is described in detail in our Data in Briefpublication), we …
Pablo Moriano
•
•
1 min read
Deploying a Model Predictive Traffic Signal Control Algorithm - A Field Deployment Experiment Case Study
Architecture diagram illustrating the workflow for real-time traffic signal control for our field experiments. GridSmart traffic data and TomTom speeds were preprocessed to feed …
Qichao Wang
•
•
1 min readCampus Digital Twin
Selected Publications: Computer Vision Based Traffic Monitoring Virtual Reality Digital Twins of Smart Cities
•
1 min read
Read more
Computer Vision-Enabled Smart Traffic Monitoring for Sustainable Transportation Management
Overview of available traffic signals, camera infrastructure, and parking lot locations on ORNL campus.
Yunli Shao
•
•
1 min read
Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer
Meanshift clustering based Image workload partitioning. Different clusters are represented by different colors. Images belongs to a cluster will be assigned to an independent job. …
Kuldeep Kurte
•
•
1 min read
Ramifications of Evolving Misbehaving Convolutional Neural Network Kernel and Batch Sizes
Building footprint detection. This depicts detected building footprints, highlighted in purple, by applying a CNN model to satellite imagery.
Mark Coletti
•
•
1 min read